The Cornella Health Interview Survey Follow-Up (CHIS.FU) Study: design, methods, and response rate

BMC Public Health. 2003 Mar 7:3:12. doi: 10.1186/1471-2458-3-12. Epub 2003 Mar 7.

Abstract

Background: The aim of this report is to describe the main characteristics of the design, including response rates, of the Cornella Health Interview Survey Follow-up Study.

Methods: The original cohort consisted of 2,500 subjects (1,263 women and 1,237 men) interviewed as part of the 1994 Cornella Health Interview Study. A record linkage to update the address and vital status of the cohort members was carried out using, first a deterministic method, and secondly a probabilistic one, based on each subject's first name and surnames. Subsequently, we attempted to locate the cohort members to conduct the phone follow-up interviews. A pilot study was carried out to test the overall feasibility and to modify some procedures before the field work began.

Results: After record linkage, 2,468 (98.7%) subjects were successfully traced. Of these, 91 (3.6%) were deceased, 259 (10.3%) had moved to other towns, and 50 (2.0%) had neither renewed their last municipal census documents nor declared having moved. After using different strategies to track and to retain cohort members, we traced 92% of the CHIS participants. From them, 1,605 subjects answered the follow-up questionnaire.

Conclusion: The computerized record linkage maximized the success of the follow-up that was carried out 7 years after the baseline interview. The pilot study was useful to increase the efficiency in tracing and interviewing the respondents.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Alcohol Drinking / epidemiology
  • Censuses*
  • Child
  • Child, Preschool
  • Chronic Disease / epidemiology
  • Cohort Studies
  • Database Management Systems / organization & administration*
  • Female
  • Follow-Up Studies
  • Health Behavior*
  • Health Surveys*
  • Humans
  • Infant
  • Infant, Newborn
  • Interviews as Topic
  • Male
  • Medical Record Linkage / methods*
  • Middle Aged
  • Population Dynamics
  • Risk Factors
  • Self Efficacy
  • Smoking / epidemiology
  • Spain / epidemiology